Data Analyst SCHARP, Clinical Data

Job ID
Regular Full-Time
Fred Hutchinson Cancer Research Center
Clinical Research Support Services


The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is seeking a Data Analyst to provide data curation, integration, and analysis support for multiple clinical and laboratory data pipelines. The Data Analyst will use their data management expertise to optimize and document data design, database architecture, metadata and repository creation, data pipelines, data storage, and data models, and to curate and annotate data using open standards (e.g., CDISC).


Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. The Center’s five scientific divisions collaborate to form a unique environment for conducting basic and applied science. Vaccine and Infectious Diseases Division (VIDD), works to eliminate or minimize the impact of globally significant infectious diseases. Within VIDD is the Statistical Center for HIV/AIDS Research & Prevention (SCHARP) which provides statistical support and data management to researchers worldwide in the fight against HIV/AIDS with active studies in the U.S., Africa, Latin America, Asia and Europe. Join us and make a difference! Careers Start Here.


Data Management

  • Assist in the requirements and techniques for ensuring quality data collection.
  • Develop and refine logical data models to ensure they support data storage, integration, and reporting requirements.
  • Work closely with programmers, statisticians, and other potential data consumers, to understand requirements for data annotation.
  • Design, develop, and maintain data mappings, data rules, and data transformations to populate data warehouse with source data.
  • Assist in monitoring and analyzing information and data systems to evaluate their performance and recommend improvements as needed.
  • Assist in testing and system validation to troubleshoot issues related to data management systems.
  • Use information management systems to document data models, metadata, and ETL configurations.

Data Curation

  • Assist with reports, analyses, and data extractions as needed.
  • Report unexpected patterns or issues observed in data outputs.
  • Manage the operations for a variety of data pipelines, ensure that source data are loading into the data warehouse without error. Mitigate errors that occur.
  • Troubleshoot data-related problems and system operations as needed.

Data Governance

  • Participate in development of governance policies and processes around data storage, use, and access.
  • Work with project sponsors, stakeholders, and team members to ensure proper data access, use and data integrity per regulatory requirements and SCHARP policies.
  • Collaborate in the development, adoption, and adherence of data standards.
  • Provides leadership and supervision for data standards staff and training and support on master data process to users.


  • BS/BA in computer science or relevant field
  • 3 years’ experience as data architect, manager, curator, or analyst
  • Excellent understanding of data administration and management functions
  • Familiarity with database and information system technologies
  • Excellent problem-solving, communication, collaboration and leadership skills

Preferred Qualifications

  • Graduate degree in Computer Science, Math, Engineering, or Statistics
  • 5 years of proven, successful hands-on data curation experience
  • Must be highly detail-oriented with ability to multitask and meet deadlines in a high-pressure environment
  • Experience in data analysis, data warehousing or data integration
  • Strong knowledge of data structures, algorithms and object-oriented design
  • Proven success as a multi-disciplinary team member, partnering with process/systems managers, data consumers and IT support functions to achieve business goals


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